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Sequence Evolution Function: Computational Approaches in Comparative Genomics Hardcover – 30 Nov 2002

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Product details

  • Hardcover: 490 pages
  • Publisher: Springer; 2003 edition (30 Nov. 2002)
  • Language: English
  • ISBN-10: 0387559035
  • ISBN-13: 978-0387559032
  • ASIN: 1402072740
  • Product Dimensions: 24.1 x 16.2 x 3.1 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 4,412,449 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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First Sentence
In the early spring of 1980, one of the authors of this book (EVK) was an excited listener to a seminar presented in Moscow State University, the authors' alma mater, by a well-known virologist, a scientist of rare creativity, and later a good friend, Anatoly Altstein. Read the first page
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Format: Hardcover
An excellent book, not only full of most up-to-date information on different aspects of the evolution of proteins (and their coding sequences), but also written in an entertaining and easy-to-follow style. The authors are leading experts in the field, though humbly point out the areas of their expertise and the focus of the book as compared to other, sometimes complementary work by different researchers. The wealth and depth of the presented information make the book suitable for graduate, post-graduate students or scientists from other areas of expertise; though it would certainly be also interesting for more advanced research scientists.
The book focusses on what is known on the evolution of protein coding sequences. As pointed out by the authors, it is clearly based around their own work. The reader will find, for example, numerous references to the COGs database, which is, arguably, one of the most important developments by the authors and is a most valuable database that adds to our understanding of protein evolution. Readers contradicting the philosophy behind those approaches might find the book slightly biased.
The plentiful examples that illustrate each chapter's main messages might be somewhat overwhelming for the non-specialist reader. Though these parts of the book could be easily skimmed, the more advanced bioinformatician or evolutionary biologist might have liked some more theory and background information instead.
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